Conference Paper

LKMS - A Legal Knowledge Management System Exploiting Semantic Web Technologies.

DOI: 10.1007/11574620_62 Conference: The Semantic Web - ISWC 2005, 4th International Semantic Web Conference, ISWC 2005, Galway, Ireland, November 6-10, 2005, Proceedings
Source: DBLP

ABSTRACT Semantic Web, using formal languages to represent document content and providing facilities for aggregating information spread
around, can improve the functionalities provided nowadays by KM tools. This paper describes a Knowledge Management system,
targeted at lawyers, which has been enhanced using Semantic Web technologies. The system assists lawyers during their everyday
work, and allows them to manage their information and knowledge. A semantic layer has been added to the system, providing
capabilities that make system usage easier and much more powerful, adding new and advanced means for create, share and access

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper describes hybrid search, a search method supporting both document and knowledge retrieval via the flexible combination of ontology- based search and keyword-based matching. Hybrid search smoothly copes with lack of semantic coverage of document content, which is one of the main limitations of current semantic search methods. In this paper we define hybrid search formally, discuss its compatibility with the current semantic trends and present a reference implementation: K-Search. We then show how the method outperforms both keyword-based search and pure semantic search in terms of precision and recall in a set of experiments performed on a collection of about 18.000 technical documents. Experiments carried out with professional users show that users understand the paradigm and consider it very powerful and reliable. K-Search has been ported to two applications released at Rolls-Royce plc for searching technical documentation about jet engines.
    The Semantic Web: Research and Applications, 5th European Semantic Web Conference, ESWC 2008, Tenerife, Canary Islands, Spain, June 1-5, 2008, Proceedings; 01/2008
  • [Show abstract] [Hide abstract]
    ABSTRACT: People who belong to an organization own common knowledge that, with time, grows, evolves and is transferred from one person to another. As it happens in an ecosystem, each individual has his own work environment and personal goals, but also interacts with others, using common knowledge and contributing to its improvement. According to this vision, we have created a knowledge management environment equipped with a set of tools to better support cooperation by working along two main directions: the first one relies on establishing a community driven central repository enhanced with Semantic Web technologies, which allows information to be organized according to its semantic structure by exploiting classification, information extraction, and semantic filtering techniques. The second direction relies on enriching users’ everyday work environment – including emails, web browsers, RSS aggregators, and desktops – by providing tools that exploit contextual information, directing more relevant information where it is needed and adding value to the information as it is generated and shared. The system we describe in this paper on the one hand opens up corporate knowledge even to individuals who are normally unwilling to use a traditional KM system and, on the other hand, makes access much easier to those users who are already willing to share, leading to a healthier knowledge ecosystem which grows through seamless cross fertilization.
    Managing Knowledge in a World of Networks, 15th International Conference, EKAW 2006, Podebrady, Czech Republic, October 2-6, 2006, Proceedings; 01/2006
  • [Show abstract] [Hide abstract]
    ABSTRACT: Many people, in particular researchers, are interested in searching and retrieving authoring information from online authoring databases to be cited in their research projects. In this paper, we propose a novel approach for retrieving authoring information that combines keyword and semantic-based approaches. In this approach, the user is interested only in retrieving authoring information considering some specified keywords and ignore how the internal semantic search is being processed. Additionally, this approach exploits the semantics and relationships between different resources for a better knowledge-based inference.
    Proceedings of the 1st International Conference on Intelligent Semantic Web-Services and Applications, ISWSA 2010, Amman, Jordan, June 14-16, 2010; 01/2010


Available from